DocumentCode
2797049
Title
Solving a problem of sources separation stemming from a linear combination: Applied to the 3D reconstruction of the solar atmosphere
Author
Kherrab, Belkacem ; Rodet, Thomas ; Idier, Jérôme
Author_Institution
Lab. des Signaux et Syst., SUPELEC, Gif-sur-Yvette, France
fYear
2010
fDate
14-19 March 2010
Firstpage
1338
Lastpage
1341
Abstract
In this article, we propose to reconstruct the 3D structure of the solar atmosphere, taking into account the temporal evolution of the coronal structures. To do this we develop a new method, which considers that the object of interest consists of several sources each one having different evolution from the other at different time. The data are the Radon transform of an instantaneous mixture of sources. So, we must solve a separation source problem with a linear mixture of sources. To our best knowledge, this problem is still open. To solve this problem of source separation, we have introduced a sparsity information on the sources, and we have chosen to use the variational Bayesian approach for reduce the computation time.
Keywords
Bayes methods; inverse problems; solar corona; source separation; computation time; coronal structures; dynamic tomography; inverse problem; linear mixture; radon transform; solar atmosphere; source separation; sparsity information; temporal evolution; variational Bayesian method; Atmosphere; Atmospheric measurements; Bayesian methods; Deconvolution; Image reconstruction; Inverse problems; Morphology; Observatories; Pixel; Source separation; Sources separation; dynamic tomography; inverse problem; variational Bayesian method;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location
Dallas, TX
ISSN
1520-6149
Print_ISBN
978-1-4244-4295-9
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2010.5495439
Filename
5495439
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